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About Holcim: As the world’s global leader in innovative and sustainable building materials, Holcim is reinventing the way the world builds. Supported by a 70,000-strong global team spread across 70 countries and four industry segments (Cement, Aggregates, Ready-Mix Concret and Solutions & Products), we are committed to shaping a greener, smarter and healthier world. It’s our ambition to lead the industry in reducing carbon emissions and accelerating the transition towards low-carbon constructions globally. To enable and support our business, Holcim have setup the Group’s Center of Excellence for Advanced Analytics and AI – which encompasses Data Science, Data Engineering, Cloud Platforms Engineering and Business Intelligence. The Group CoE supports Holcim’s Businesses, Functions and OpCos GloballyJob Title: Data Science ManagerJob Location: Remote/Work from homeEducation: Education / QualificationBE / B. Tech in Computer Science, Engineering or relevant STEM fieldsGraduate degree in Data Science or other quantitative field is preferredStrong mathematics skills (e.g. statistics, algebra)Certification in Cloud Analytics Platforms – AWS mustThe Manager- Data Science will be part of the Group’s Global Advanced Analytics CoE and will play a key role in enabling our Businesses for Insights Driven Operations and Decision making – leveraging cutting edge Analytics tools and techniques Data Scientist (Individual Contributor initially, with potential to move into a People Management role with strong performance)Responsibilities:Work with Business / Domain SMEs, understand pain and opportunity areas and create analytical models to identify patterns and predict outcomes of key business processesIdentify the appropriate modeling technique(s) and use Machine Learning and Deep Learning Algorithms to develop self-correcting models and algorithms, validate results from the business perspective and identify levers to improve outcomesCollaborate with Product Development teams to industrialize AI / ML models and conduct rapid and iterative prototyping of minimum viable solutionsTest hypothesis on raw datasets and build meaningful and conclusive insights to identify new opportunity areas.Work on all aspects of data including data acquisition, data exploration, feature engineering, building and optimizing models etc.Develop and deploy Gen AI SolutionsDesign full stack ML solutions in a distributed computing environment -AWS (preferred) and GCP. If needed develop ML solutions to be deployed on the edge (like actuators in plants) or mobilesYour Experience:Total experience of 12-15 years (relevant Analytics experience atleast ~ 8 years) Industry Experience and knowledge especially in Manufacturing/ Operations Functions in a Building Material Industry, Manufacturing, Process or Pharma preferredHandson experience in statistical and data sceience techniquesKnowledge and experience in developing and deploying Gen AI SolutionsRequired Skills:8+ years of handson experience in advanced Machine Learning & Deep Learning techniques and algorithms such as Decision Trees, Random Forests, SVMs, Regression, Clustering, Neural Networks, CNNs, RNNs, LSTMs, Transformers, etc.6+ years of experience in experience in statistical computer languages (Python, PySpark etc.) to manipulate data and draw insights from large data sets5+ years of experience in Cloud platforms like AWS with specific experience of leveraging AWS services and deploying AI / ML models on these platforms.Experience in DL frameworks such as TensorFlow, Keras or PyTorchFamiliarity with business intelligence tools (e.g. Qlikview) and data frameworks will be an added advantage